• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2000.05a
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• pp.296-300
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• 2000

In previous papers, it proved relevant to using together with EFCI and ER switch for effective ABR traffic managements. It also applied to EFCI and ER switch algorithm, that consider ABR traffic as poisson pattern. However, in recently network environment, it has been proved about traffic pattern, that is similar to self-similar pattern than poisson pattern. In this paper, we will compare previous poisson pattern with self-similar pattern under ATM network.

• Journal of Advanced Navigation Technology
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• v.15 no.2
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• pp.241-247
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• 2011

Most of network congestions are caused by TCP packet losses in the wired network ecosystems. On the contrary, high BER (Bit Error Rate), which is characteristic of the wireless networks, is a main factor in wireless network environments. Many wireless networks carry out the congestion control mechanisms frequently because they estimate that packet losses are not due to the wireless signal qualities but the congestion controls in their networks. To solve this problem, we propose the improved EWLN (Explicit Wireless Loss Notification) algorithm that more efficiently utilize the congestion window size to increase the wireless network throughput than legacy EWLN algorithm.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.474-479
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• 2004

This paper describes a feedback-based congestion control algorithm to improve TCP performance over wireless network. In this paper, we adjust the packet marking probability at the router for Max-Min fair sharing of the bandwidth and full utilization of the link. Using the successive ECN (Explicit Congestion Notification), the proposed algorithm regulates the window size to avoid the congestion and sees the packet loss only due to the wireless link error. Based on the asymptotic analysis, it is shown that the proposed algorithm guarantees the QoS of the wireless TCP. The effectiveness of the proposed algorithm is demonstrated by simulations.

• Journal of Korea Multimedia Society
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• v.21 no.8
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• pp.858-863
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• 2018

In this paper, we propose and implement a multi-level convolutional neural network (CNN) algorithm to identify the sexually explicit and lewdness of various image files, and verify its effectiveness by using unauthorized image files generated in the actual military. The proposed algorithm increases the accuracy by applying the convolutional artificial neural network step by step to minimize classification error between similar categories. Experimental data have categorized 20,005 images in the real field into 6 authorization categories and 11 non-authorization categories. Experimental results show that the overall detection rate is 99.51% for the image files. In particular, the excellence of the proposed algorithm is verified through reducing the identification error rate between similar categories by 64.87% compared with the general CNN algorithm.

• PNF and Movement
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• v.13 no.2
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• pp.55-72
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• 2015

Purpose: The purpose of this study was to propose a new therapy algorithm that combines motor imagery and physiotherapy as a physiotherapeutic clinical intervention technique that can stimulate the recovery of damaged physical function for patients with stroke. Methods: A variety of scientific research results related to motor imagery were reviewed and analyzed to investigate their applicability to physiotherapy in clinics. Results: As a new therapy algorithm for the therapeutic approach of motor imagery in stroke rehabilitation, a therapy algorithm that combines motor imagery with physiotherapy is proposed, which consists of three stages or steps: STEP 1 motor imagery familiarization, STEP 2 explicit learning stage, and STEP 3 implicit learning. Conclusion: The new therapy algorithm proposed in this study is expected to be a very useful clinical therapeutic approach for stimulating the recovery of damaged physical function in patients with stroke. It is believed that it will be necessary to confirm and standardize the effects of the therapeutic algorithm proposed in this study in the future by conducting diverse clinical studies.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.6 no.3
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• pp.71-86
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• 1996

In this paper we propose an explicit rate allocation algorithm for ATM(Asynchronous Transfer Mode) Networks using the available bit rate(ABR) class of service and study the performance of this algorithm. We examine the behavior of ABR traffic with the suggested algorithm, and demonstrate that the algorithm is fair and maintains network efficiency with low cell loss rate. The simulation results show substantial improvements in fairness and efficiency over the existing algorithms.

• Nonlinear Functional Analysis and Applications
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• v.27 no.1
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• pp.1-22
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• 2022

The purpose of this research is to formulate a new proximal-type algorithm to solve the equilibrium problem in a real Hilbert space. A new algorithm is analogous to the famous two-step extragradient algorithm that was used to solve variational inequalities in the Hilbert spaces previously. The proposed iterative scheme uses a new step size rule based on local bifunction details instead of Lipschitz constants or any line search scheme. The strong convergence theorem for the proposed algorithm is well-proven by letting mild assumptions about the bifunction. Applications of these results are presented to solve the fixed point problems and the variational inequality problems. Finally, we discuss two test problems and computational performance is explicating to show the efficiency and effectiveness of the proposed algorithm.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.4
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• pp.465-474
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• 2012

In this study, a dynamic simulation model that considers many spherical particles and multibody dynamics (MBD) entities is developed. Plenteous spherical particles are solved using the Discrete Element Method (DEM) technique and simulated on a GPU board in a PC. A fast algorithm is used to calculate the Hertzian contact forces between many spherical particles, and NVIDIA CUDA is used to increase the calculation speed. The explicit integration method is applied to solve the many spheres. MBD entities are simulated by recursive formulation. Constraints are reduced by recursive formulation, and the implicit generalized alpha method is applied to solve the dynamic model. A new algorithm is developed to simulate the DEM and MBD models simultaneously. As a numerical example, a truck car model and gear model are developed. The results show that the proposed algorithm using a general-purpose GPU in a PC has many advantages.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10a
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• pp.374-376
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• 1998

ABR서비스는 ATM 망의 이용률을 증대시키고, 매우 버스트한 트래픽 응용을 지원하기위해 설계되었다. ATM 포럼에서는 망에서 소스의 셀 전송률을 조절하고 셀 손실을 최소화하기 위한 ABR 서비스 표준으로 폐쇄루프와 전송률기반의 폭주 제어 알고리즘을 채택하였다. 이러한 폭주 제어 알고리즘 중에서 대표적인 것이 ERIVCA(Explicit Rare Indication for Congestion Avoidance) 이다. 본 논문에서는 ERIVCA 의 견고성, 공평성 LAN/WAN 환경에 대해서 성능을 시험하고. 그 결과로 성능을 향상시키기 위해 개선된 최대-최소 구조를 제공한다. 또한 제안된 구조에 대한 시뮬레이션을 하여 기존 ERIVCA 알고리즘의 성능과 비교 분석한다.

• Journal of the Korea Computer Industry Society
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• v.2 no.10
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• pp.1261-1268
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• 2001

Despite of various useful features, functional languages do not provide an efficient way of representing states. To improve expressiveness of functional language, it is required a method representing explicit state without violating of functional semantic properties. In this paper, imperative functional language, $\lambda$st-calculus is designed to represent states without compromising the properties of pure functional languages. And we construct an algorithm to reduce proposed imperative functional language. $\lambda$st-calculus model which is an extension of the $\lambda$-calculus model with explicit state constructor without violating their semantic properties. it improves expressiveness of syntax through a concept of state composition and simplified reduction rules.